The extragalactic radio–source population at 95GHz
Bibliographic record
Abstract
We have used the Australia Telescope Compact Array (ATCA) at 95GHz to carry out continuum observations of 130 extragalactic radio sources selected from the Australia Telescope 20GHz (AT20G) survey. We use a triple–correlation method to measure simultaneous 20 and 95GHz flux densities for these objects, and over 90 % of our target sources are detected at 95GHz. We demonstrate that the ATCA can robustly measure 95GHz flux densities with an accuracy of ∼10 % for sources stronger than about 50mJy. We measure the distribution of radio spectral indices in a flux–limited sample of extragalactic sources, and show that the median 20–95GHz spectral index does not vary significantly with flux density for S20> 150mJy. This finding allows us to estimate the extragalactic radio source counts at 95GHz by combining our observed 20–95GHz spectral–index distribution with the accurate 20GHz source counts measured in the AT20G survey. Our derived 95GHz source counts at flux densities above 80mJy are significantly
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".